A pet tracking assembly includes a collar that is wearable around a neck of a pet. A light emitter is coupled to the collar to emit light outwardly from the collar when the light emitter is turned on. A monitoring unit is integrated into the collar and the monitoring unit is in wireless communication with a wireless internet router that is associated with the owner of the pet. The light emitter is turned on when the monitoring unit senses the signal from the wireless internet router has fallen below a pre-determined signal strength. Additionally, the monitoring unit broadcasts an alert to a personal electronic device when the monitoring unit senses the signal from the wireless internet router has fallen below the pre-determined signal strength. In this way the user is alerted that the pet has moved beyond the pre-determined distance from the wireless internet router.

A method for monitoring and feeding pets includes identifying pre-defined feeding time for a pet of one or more pets and playing audio for a specific pet based on the identified feeding time. The method also includes of receiving a data signal indicating real-time coordinates of the pet to determine a real-time distance of the pet from a pet feeder. The method also includes determining an amount of pet food to be fed to the pet and calculating an amount of pet food to be dispensed to the pet based on the determined amount of pet food and/or a current amount of pet food in a pet feeding container. Additionally, the method also includes of controlling a motor to move flaps of the pet feeder to dispense the calculated amount of pet food into the pet feeding container.

Livestock may be managed by a variety of systems, processes, and techniques. In particular implementations, the properties of water may be monitored by automated techniques and treated water may be provided to animals. In certain implementations, sick, or potentially sick, livestock may be provided with treated water to improve their health. The automated techniques may include monitoring the movements and/or water consumption of the livestock and predicting which ones may be sick based on their movements and/or water consumption. In some implementations, a water trough may contain multiple segments. The water properties in the segments may be maintained at different states.

A method for the clustering and identification of animals in acquired images based on physical traits is provided, where a trait feature is a scalar or vector quantity that is a property of a trait and trait distance is a measure of discrepancy between the same trait features of two animals, and also introduced are several different ways of implementing clustering using trait features.

Techniques and examples pertaining to a tracking method using a two-component tracking device are described. The tracking device includes two components paired with one another: a first component that is specific to a subject the tracking device is intended to track, and a second component that is generic. The second component is capable of establishing a wireless connection with a cellular network, as well as collecting location information of the second component itself. The tracking method involves receiving from the cellular network a set of requirements associated with the subject, and triggering an action based on the set of requirements and the location information collected. The tracking method enables tracking of multiple subjects without a pairing mistake. Namely, a mismatch between multiple subjects to be tracked and multiple tracking devices intended to track the subjects can be avoided.

A system for determining feed intake of a cow, the system including: at least one sensor configured to be positioned on a collar and/or ear-tag of a cow, wherein the sensor is configured to collect data associated with head movements of the cow, a processor in communication with a memory module, the memory module having stored thereon program code, the program code executable by the processor to: receive signals from the at least one sensor, preprocess the received signals by classifying different time blocks of the received signal into classes of behaviors of the cow, extract a plurality of features based, at least in part, on the classified time blocks, and calculate the feed intake of the cow based on the one or more extracted features.

A system and method for automatically matching a sensor device attached to an animal with an ID tag attached to the animal, wherein a reader device, located in or alongside a passage of an animal enclosure, transmits a signal toward the animal in the passage that triggers the ID tag to transmit ID information, and a monitoring device in communication with the reader device receives the ID information from the reader device, receives sensor device information from the sensor device including a sensor device identity, and determines that the ID tag and the sensor device are attached to a same animal based on time information associated with the ID information and the sensor device information.

A system and method for automatically matching a sensor device attached to an animal with an ID tag attached to the animal, wherein a reader device, located in or alongside a passage of an animal enclosure, transmits a signal toward the animal in the passage that triggers the ID tag to transmit ID information, and a monitoring device in communication with the reader device receives the ID information from the reader device, receives sensor device information from the sensor device including a sensor device identity, and determines that the ID tag and the sensor device are attached to a same animal based on time information associated with the ID information and the sensor device information.

A system for notifying occupants of a structure that a pet is proximate to an opening of a structure. The system may include a pet unit wearable on the pet's body and including a transmitter configured to transmit a wireless proximity signal from the pet unit. The system may further include an exit unit positionable at an exit of the structure. The exit unit may include a receiver configured to receive a said wireless proximity signal transmitted by a pet unit, with the receiver being configured to produce an alert signal when a said wireless proximity signal is received. The exit unit may also include an alerting assembly configured to provide a presence alert when the receiver receives a said wireless proximity signal. The alerting assembly may comprise a perceptible alerting mechanism configured to produce a perceptible presence alert which is perceptible to a sense of a human.

A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations to accept ecosystem data and detect, analyze, and notify a user about a species in an environment. The system analysis and notification may include impact determination of the species on the environment and shall learn from the received and analyzed data, bringing intelligence to the system.